期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：12
期号：1
页码：41-45
DOI：10.14445/22312803/IJCTT-V12P109
出版社：Seventh Sense Research Group
摘要：Smart city [1] planning is crucial as it should balance among resources and the needs of the city .It allows to achieve good ecofriendly industries, there by supporting both the nature and the stake holders. Setting up an industry is a difficult problem, because it should optimize the resources and allocating it in an effective manner. Weighted sum approach [2] uses the spatial data for finding appropriate places to set up the industry based on the weight assigned to each constraint. The user can predict the possible places in the search space, where the industry can be set with low time complexity using spatial data. Diversity being introduced by using multipoint crossover and mutation operations. It will help to bring exploration in the search space, thereby bring the diversity factor into the solution space. The prediction approach will help to avoid the human exploitation on nature for resources. This in turn helps the investors to maximize the Return on Investment (ROI).
关键词：Geographical Information System (GIS); multi-objective function; prediction method; smart city.
